Method and apparatus for battery management

Patent metadata

Field	Value
Publication number	US-10427535-B2
Application number	US-201615360522-A
Country	US
Kind code	B2
Filing date	Nov 23, 2016
Priority date	Nov 24, 2015
Publication date	Oct 1, 2019
Grant date	Oct 1, 2019

Abstract

The present disclosure is related to a battery management system which includes a location information obtainer configured to obtain location information of a battery, and an estimation model changer configured to change an estimation model to estimate an internal state of the battery according to a change in the location information.

First claim

What is claimed is:

1. A battery management apparatus, comprising: a processor configured to: obtain a state of health (SOH) estimation model configured to estimate a SOH of a battery based on regional information; determine location information of the battery using measured data from a sensor; determine updated regional information corresponding to the location information, in response to the location information being determined to deviate from a region predefined in the SOH estimation model; update the SOH estimation model based on the updated regional information; generate an updated SOH of the battery being estimated using the updated SOH estimation model; and calculate a replacement time of the battery using the updated SOH of the battery generated from the estimation.

2. The apparatus of claim 1 , wherein the processor is further configured to determine the location information using the measured data from a global positioning system (GPS).

3. The apparatus of claim 1 , wherein the processor is further configured to periodically check for a change in the location information, or to check for a change in the location information based on a driving record of an electric vehicle (EV).

4. The apparatus of claim 1 , wherein the estimation model estimates the SOH of the battery based on either one or both of a neural network (NN) or a deep neural network (DNN).

5. The apparatus of claim 1 , wherein the regional information comprises any one or any combination of any two or more environmental factors of temperature, humidity, weather, geography, road conditions, or city characteristics of a local area.

6. The apparatus of claim 1 , wherein the processor is further configured to determine the updated regional information using data obtained through a charging cable of the battery.

7. The apparatus of claim 1 , wherein the processor is further configured to obtain the regional information from a remote server.

8. The apparatus of claim 1 , wherein the processor is further configured to recommend to a user to replace the battery when a value of the updated SOH is less than a health threshold.

9. The apparatus of claim 1 , wherein the SOH estimation model is further configured to indicate a usage environment of the battery based on initial location information.

10. The apparatus of claim 1 , wherein the processor is further configured to:
obtain internal data of an inside of the battery; and
generate the updated SOH based on the internal data, using the updated estimation model.

11. A processor-implemented method for battery management, the method comprising:
obtaining a state of health (SOH) estimation model configured to estimate a SOH of a battery based on regional information;
determining location information of the battery using measured data from a sensor;
determining updated regional information corresponding to the location information, in response to the location information being determined to deviate from a region predefined in the SOH estimation model;
updating the SOH estimation model based on the updated regional information;
generating an updated SOH of the battery being estimated using the updated SOH estimation model; and
calculating a replacement time of the battery using the updated SOH of the battery generated from the estimation.

12. The method of claim 11 , wherein the obtaining of the location information comprises determining the location information of the battery using the measured data from a global positioning system (GPS).

13. The method of claim 11 , wherein the determining of the location information comprises either one or both of periodically checking for a change in the location information, or checking for a change in the location information based on a driving record of an electric vehicle (EV) which includes the battery.

14. The method of claim 11 , wherein the estimation model estimates the SOH of the battery based on either one or both of a neural network (NN) or a deep neural network (DNN).

15. The method of claim 11 , wherein the regional information comprises any one or any combination of any two or more environmental factors of temperature, humidity, weather, geography, road conditions, or city characteristics of a local area.

16. The method of claim 11 , wherein the determining of the updated regional information comprises updating the updated regional information using data obtained through a charging cable of the battery.

17. The method of claim 11 , wherein the determining of the updated regional information comprises updating the updated regional information using data obtained from a server by communicating with the server using any one or any combination of any two or more of WiFi, Zigbee, near field communication (NFC), Bluetooth, or radio frequency (RF).

18. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the method of claim 11 .

19. A processor-implemented method for battery management, the method comprising:
obtaining a state of health (SOH) estimation model configured to estimate a SOH of a battery based on regional information;
determining location information of the battery using measured data from a sensor;
determining updated regional information corresponding to the location information, in response to the location information being determined to deviate from a region predefined in the SOH estimation model;
updating the SOH estimation model based on the updated regional information to estimate an updated SOH of the battery using the updated SOH estimation model; and
calculating a replacement time of the battery using the updated SOH of the battery generated from the estimation.

Assignees

• Samsung Electronics Co Ltd

Inventors

• Park Sang Do
• You Kae Weon

Classifications

• H02J7/42

  with electronic devices having internal batteries, e.g. mobile phones · CPC title

• H02J7/751

  concerning the insertion or the connection of the batteries · CPC title

• Y02T90/16

  Information or communication technologies improving the operation of electric vehicles · CPC title

• B60L2240/622

  by satellite navigation · CPC title

• B60L2240/662

  Temperature · CPC title